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LT-C15B-6MP

3MP + 3MP Wifi IP Camera

Mobile APP : Icsee

Humanoid recognition AI alarm WIFI spherical IP camera

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ModelLT-C15B-6MP
master controlDual-core 32-bit DSP (XM650V200), pure hard compression, watchdog
sensorTwo 2 million 1/2.8 "300AI high-performance CMOS sensors
Minimum illuminationColor:0.01Lux @(F1.2,AGC ON); 0 Lux with IR;
Black and white:0.001 Lux @ (F1.2,AGC ON),0 Lux with IR
shutter1/50(1/60) seconds to 1/10000 seconds
ocal distanceF1.4*3.6MM+F1.4*6MM
noise reductionSupport 2D/3D noise reduction
Video formatH.265AI
resolving powerMain resolution: 2304*2592
Frame rate12 fps
Intelligent analysisSupport human shape detection
Tracking functionSupport human shape tracking
light source8 infrared+8white light
Light modeStarlight full color/infrared night vision/dual light warning
Two-way voicesustain
Cloud storagesustain
Support AgreementSupport NETIP protocol and onvif protocol
network interface10M/100M adaptive Ethernet port
Storage interfaceLocal TF card (up to 256G)
Reset key interfaceSupport one-click recovery
Wireless standardIEEE802.11b, 802.11g, 802.11n
frequency range2.4 GHz ~ 2.4835 GHz
power waste10W
Product size98*127*175mm
Color box size178*164*105mm
temperatureZero 10 ° C -60 ° C, humidity less than 90% [no condensation]
Power SupplyDC 12V ± 10%
weight0.56 KGS


3 million gun machines and 3 million ball machines, the picture is spliced up and down into 6 million, and the image is clear and exquisite;

Support human shape detection, tracking and capturing;

Support dual light, human shape and intelligence (line mixing, area care, etc.);

Support wired and wireless network connection;

Support 2D/3D noise reduction and digital wide dynamic;

Advanced H.265AI video compression technology, ultra-low bit rate, high-definition image quality;

Lightning protection, in accordance with national standard GB/T17626.5 and international standard IEC61000-4-5;

Support ONVIF protocol and access to third-party backend/platform;

Support mobile phone monitoring (iOS, android);

Support a variety of cloud technologies to achieve network penetration, front-end and back-end docking, and push alarm information to mobile phones and other functions